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The main purpose of the paper is to analyse how a performance measurement system constitutes a dialogue to enable manageability in knowledge work organisations.

The paper is based on an action research project aimed to study the use of performance measurement in a knowledge work context. The case study is applied. The results are derived in participative action research interventions that aimed to build an applicable performance measurement system in three individual organisations. The approach is constructive and normative.

The paper provides information about applications of performance measurement in knowledge work context. As a result there is discussion on applying performance measurement in the managerial system of knowledge worker organisations and description of using performance measurement in knowledge work context. The contribution consists of managerial norms for applying performance measurement in knowledge work context.

The research, thus the results too, is delineated to small and medium size organisations.

In the paper there are several transferable results. As the aim was to have normative results, the degree of practicality is relatively high. Taking the restrictions of conceptuality of performance measurement into account, the paper provides useful information to practitioners.

The paper answers the research question set. Originality of the paper lies in the field applying performance measurement. It continues the discussion on the traditions of management and leadership.

The sizes, and thereby minimum investments, of venture capital funds grew phenomenally during 1995‐2000. Simultaneously, business started to transform from capital to knowledge intensive and a new gap emerged between venture and capital. A diverse group of actors referred to herein as Venture‐to‐Capital or V2C players help entrepreneurs gross this gap. While incubators, business angels, and various other types of V2C players serve an important role in the emerging knowledge economy, research on their operation has been scarce. The objective of this exploratory study is to define the usability of performance measurement (PM) in the V2C context. Also in the V2C context, PM should be carried out by using a balanced set of measures from several perspectives. Herein, V2C operating models are examined, and critical success‐factors searched‐for, from the perspectives of both entrepreneur and venture capitalist. We suggest nine success factors, several underlying measures, and directions for further research.

This paper aims to discuss the motivational factors affecting the knowledge sharing through an intra‐organizational social media platform and to answer the following research questions: “What motivates employees to share their knowledge through an intra‐organizational social media platform?”; “What impedes them sharing knowledge this way?”; and “Do these factors differ from those motivational factors regarding knowledge sharing in general?”.

The paper approaches the issue from both theoretical and empirical viewpoints. The motivational factors regarding knowledge sharing in general are summed up from literature. The social media platform perspective to the issue is studied by conducting a survey in two companies.

The results reveal that the motivation to share knowledge through an intra‐organizational social media platform is the desire to help the organization reach its goals and helping colleagues, while financial rewards and advancing one's career were seen as least motivating. The key issues enabling the success of using a collaborative intra‐organizational social media platform in knowledge sharing are in line with the general knowledge sharing motivational factors, although supplemented with some additional features: reciprocity in knowledge sharing, making every‐day work easier and faster and ease of use are the key factors that make or break the success.

The empirical study reveals what motivates and impedes the employees of the companies to share knowledge via an intra‐organizational social media platform. The results are discussed in the light of those from earlier research about general knowledge sharing motivational factors.

The paper seeks to discuss how traditional knowledge refining processes differ from those enabled by using social media applications. By addressing the topic with practical examples the paper aims to outline how collaborative work setting and social media tools are used in refining unstructured and unmanaged knowledge for value adding purposes.

The paper is a conceptual analysis with reflections on current practices.

The paper proposes that the collaborative setting provided by social media applications enables sharing of different insights: combining mutual insights as well as discussing conflicting insights helps to form a more multifaceted and truthful understanding on issues. Utilizing social media applications as collaborative tools also enriches information as it can also contain elements that are not predestined as in common business information systems. Social media applications empower employees to collaborate and contribute to intra‐organizational information flows in a more informal manner. In addition to factual information insights to it can be shared and discussed.

The paper studies the idea of social media, as well as social media tools, from different perspectives, such as leisure or user perspectives or context. However, interest has increased toward usability of such tools also in working or business contexts. The paper points out that social media applications can aid collaboration and informal participation and thus leverage refining of information and knowledge.

The paper proposes a model aiming at the explanation of the formation of coordinative knowledge practices in distributed work. Findings from a pilot study aiming at the preliminary testing of the model are presented and discussed.

The explanatory model was developed by combining concepts and findings developed in studies of social capital, knowledge sharing and computer supported cooperative work. The empirical data were gathered in 2007‐2008 in a multi‐unit Finnish chemical company production site. The methods used were structured observation of work processes, semi‐structured interviews and a web‐based questionnaire.

The model suggested that coordinative knowledge practices are shaped by four major factors: work coupling, social capital, spatio‐temporality and affordances of collaboration technologies. The empirical study showed that these concepts can be successfully applied in empirical research to better understand and support the development of coordinative knowledge practices.

The findings can be utilized in the analysis and assessment of coordinative knowledge practices between distributed work groups in multi‐unit organizations. The findings can also be used in the development of solutions for knowledge sharing and communication in distributed work organizations and communities.

The model developed provides a novel perspective for the study of knowledge practices in the context of distributed group work. The model proposes that varying degrees in work coupling intensity, social capital, spatio‐temporality and affordances of collaborative technologies explain the emergence of coordinative knowledge practices. The study shows how coordinative knowledge practices can be studied empirically. The empirical study resulted in a typology of coordinative knowledge practices.

Nowadays organizations have realized that knowledge, its effective use and the fast acquisition and utilization of new knowledge represent the only source of sustainable competitive advantage. In fact, an effective exploitation and management of knowledge resources are the basis of the development of those capabilities that ground the organization's capacity to deliver successfully targeted value propositions. During recent decades, there has been a growing interest in the processes of management of knowledge resources. Currently the debate on knowledge management processes is still lively. The dynamics which link knowledge processes to value creation, the valuation of their impact on organizational performance and the role of some organizational and technological resources as enablers or restraints of successful knowledge management emerge as relevant topics to be investigated. This introduction to the special issue aims to develop some theoretical and managerial reasons explaining the importance of an effective management of knowledge processes to deal with the uncertainty, change, and turbulence of the current socio‐economic scenario.

The approaches, evidences and insights discussed in this introduction are largely based on the discussion of the topics of the conference “International forum on knowledge assets dynamics” organized in June 2010 in Matera, Italy. At this conference, leading experts discussed the challenges and practices of measuring and managing knowledge resources to support value creation and business performance improvement of organisational systems.

The outcomes of this introduction and of all the contributions to the special issue reflect the emerging discussion about the role of knowledge processes and, more generally, of the management of knowledge resources, in value creation. This discussion is largely focused on the dynamics at the base of the translation of knowledge processes and resources into value, highlighting properly approaches and tools or application in different contexts of analysis.

This introduction, as well as all the contributions to the special issue, deal with different aspects which are important in the discussion both of the role played by knowledge processes in achieving outstanding organisational performance and the approaches, tools, methods and techniques to structure, organize knowledge resources and optimize their use in order to support effective organizational processes execution and value creation.

As the health care sector is changing rapidly, there is a growing need to develop new ways to make data-driven decisions, especially at the organizational level. Data utilization, like business intelligence (BI) activities, benefits health care organizations. The purpose of this paper is to study the potential of Big Data and the utilization of BI tools in creating value in the private health care industry in Finland.

Intellectual capital (IC) components and Möller et al.’s (2005) work on value capabilities are used as a framework to point out the roles of data utilization and BI tools in value creation. Thematic interviews enable understanding of the value creation based on Big Data potential and utilization of BI tools in the Finnish private health care industry.

The findings will provide an understanding of the existing data sources and BI tools used in private health care. In addition, it provides an insight into the future-oriented Big Data potential, which can create new business concepts. The approach provides valuable insights for value identifying the future needs of data utilization and creates an understanding on the current state within the private health care sector.

Data-driven value creation is one of the most discussed topics in private health care sector. By analyzing the current data-source utilization, challenges with data and BI tool utilization and the future vision and development roadmaps, the authors gain a better understanding of the IC components and value creation capabilities.

The private health care sector is seeking to improve their understanding of business processes to be able to improve their performance. The purpose of this paper is to understand the future needs of the private health care sector organizations in terms of business intelligence (BI) and business analytics (BA) to ensure value creation.

The four evolution stages of intellectual capital enriched by managerial data-driven approach are used as a framework to point out the future of BI or BA in the private healthcare sector. The research includes private health care organizations, BI vendors and management consultants in Finland.

Based on the findings, the private health care is stepping towards a new phase of data-driven decision-making, requiring to change the whole set of mind towards use of data and required capabilities. Moreover, it shows that the future factors of BI varied from practical tools and methods such as predictive and prescriptive analytics along with AI, to more conceptual factors such as social BI co-creation and platforms.

As an outcome, this study provides an understanding of the role of IC components in the future BI and use of BA as well as provides a valuable insight into the future potential of BI in the private health care sector.

Data-driven decision-making and seeking for new business opportunities are currently one of the most discussed topics in the private health care sector. By identifying the future opportunities of BI and BA, this study provides a better understanding of the role of IC components and BI in creating potential for new business for private health care.